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基于多源信息可信度的高炉料面温度检测方法

Temperature Detection Method of Blast Furnace Burden Surface Based on the Reliability of Multi-source Information

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【作者】 安剑奇吴敏何勇曹卫华

【Author】 AN Jian-qi,WU Min,HE Yong,CAO Wei-hua(School of Information Science and Engineering,Hunan Engineering Laboratory for Advanced Control and Intelligent Automation,Central South University,Changsha 410083,China)

【机构】 中南大学信息科学与工程学院,先进控制与智能自动化湖南省工程实验室

【摘要】 针对高炉料面温度难以准确检测的问题,提出一种基于多源信息可信度的高炉料面温度在线检测方法.根据高炉3种异类检测信息的各自特点分别估计料面温度,采用可信度理论通过融合单一信息的估计值计算高炉料面温度.在某钢铁企业2 200m3高炉应用结果表明,所提出的方法能够准确地检测高炉料面温度,为复杂冶金过程状态检测提供了新的解决思路.

【Abstract】 Focusing on the difficulty of precisely detecting blast furnace(BF) burden surface temperature,a novel temperature detection method of BF burden surface based on the reliability of multi-source information was proposed.Firstly,the burden surface temperature is estimated respectively according to the individual features of three kinds of singular heterogeneous information;then the BF burden surface temperature is calculated by fusing the results estimated by the three kinds of singular information based on reliability theory.The application on a 2 200 m3 B F in some steel enterprise shows the method proposed can realize the real-time and precise detection of burden surface temperature,which eventually provides an effective solution for the status monitoring of complicated metallurgy process.

【基金】 国家高技术研究发展计划(863)项目(2012AA040307);国家自然科学基金资助项目(61203017);中南大学自由探索计划(2012QNZT061)
  • 【文献出处】 上海交通大学学报 ,Journal of Shanghai Jiaotong University , 编辑部邮箱 ,2012年12期
  • 【分类号】TF54;TP274
  • 【被引频次】2
  • 【下载频次】189
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